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CLUSTER ANALYSIS OF THE FINANCIAL AND ECONOMIC CONDITION OF BUILDING BUSINESS BRANCH
DescriptionThe article is devoted to the use of methods of cluster analysis, such as multivariate statistical, indistinct and neuronet, for an estimation of financial and economic condition of middle and small enterprises of building branch of Krasnodar region, and also to revealing of the reasons and laws of occurrence and development of crisis at these enterprises
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SCOPE OF ARTIFICIAL NEURAL NETWORKS AND PROSPECT OF THEIR DEVELOPMENT
DescriptionIn the article various scopes and uses of artificial neural networks, and also their ability to training (to process of adjustment of architecture of a network and scales of synaptic communications) for the effective decisions of a task are considered
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DATA MINING FOR CONSTRUCTION MODELS OF NEURAL NETWORKS UNDER LIMITED NUMBER OF EXPERIMENTS
DescriptionThe approach of statistical modeling of data for neural networks training in order to predict strength characteristics for fiber-porous biocomposites is presented. This approach was attested on the examples of test data of the toughness for box-calf and elastic leather